The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-16"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "39329140 (up from 38917803 yesterday: 1.06 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1104354 (up from 1098254 yesterday: 0.56 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6764369

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.81



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8048865 69156 0.87 1016153 218575 883 0.41 2.72
India 7432680 62212 0.84 1528748 112998 837 0.75 1.52
Brazil 5200300 30914 0.60 510687 153214 754 0.49 2.95
Russia 1361317 14937 1.11 230229 23580 230 0.99 1.73
Argentina 965609 16546 1.74 274374 25723 381 1.50 2.66
Colombia 945354 8372 0.89 147037 28616 159 0.56 3.03
Spain 936560 15186 1.65 220079 33775 222 0.66 3.61
France 876342 25345 2.98 323921 33325 179 0.54 3.80
Peru 859740 0 0.00 65156 33577 0 0.00 3.91
Mexico 841661 6751 0.81 120803 85704 419 0.49 10.18
South Africa 700203 2019 0.29 31674 18370 61 0.33 2.62
United Kingdom 692112 15657 2.31 266345 43519 136 0.31 6.29
Iran 522387 4552 0.88 82505 29870 265 0.90 5.72
Chile 488190 1694 0.35 34322 13529 95 0.71 2.77
Iraq 420303 3501 0.84 78604 10142 56 0.56 2.41
Italy 391611 10009 2.62 85376 36427 55 0.15 9.30
Bangladesh 386086 1527 0.40 29319 5623 15 0.27 1.46
Germany 359802 7695 2.19 76090 9773 34 0.35 2.72
Indonesia 353461 4301 1.23 86616 12347 79 0.64 3.49
Philippines 351750 3052 0.88 52389 6531 34 0.52 1.86
Turkey 343955 1812 0.53 32500 9153 73 0.80 2.66
Saudi Arabia 341495 433 0.13 9166 5144 17 0.33 1.51
Pakistan 322452 575 0.18 12871 6638 17 0.26 2.06
Israel 301896 1695 0.56 83997 2141 14 0.66 0.71
Ukraine 295227 6205 2.15 98596 5551 108 1.98 1.88
Netherlands 217821 8022 3.82 107063 6765 16 0.24 3.11
Belgium 202151 10192 5.31 91175 10359 32 0.31 5.12
Canada 196928 2566 1.32 44211 9781 25 0.26 4.97
Romania 172516 4026 2.39 52833 5749 75 1.32 3.33
Morocco 167148 3498 2.14 54626 2818 46 1.66 1.69
Czechia 160112 11102 7.45 98794 1283 53 4.31 0.80
Poland 157608 7705 5.14 73212 3440 132 3.99 2.18
Ecuador 151659 1299 0.86 19184 12357 51 0.41 8.15
Bolivia 139562 243 0.17 6340 8439 32 0.38 6.05
Qatar 128992 189 0.15 4342 222 0 0.00 0.17
Nepal 126137 4392 3.61 55523 715 21 3.03 0.57
Panama 123498 615 0.50 14067 2546 17 0.67 2.06
Dominican Republic 120450 384 0.32 9853 2192 3 0.14 1.82
Kuwait 114744 729 0.64 12303 690 6 0.88 0.60
United Arab Emirates 112849 1412 1.27 23309 455 3 0.66 0.40
Kazakhstan 109302 100 0.09 1643 1768 0 0.00 1.62
Oman 108296 0 0.00 12389 1071 0 0.00 0.99
Egypt 105159 126 0.12 2534 6099 11 0.18 5.80
Sweden 103200 793 0.77 12277 5918 8 0.14 5.73
Guatemala 100431 666 0.67 11553 3478 25 0.72 3.46
Portugal 95902 2608 2.80 23847 2149 21 0.99 2.24
Costa Rica 94348 1196 1.28 23532 1168 9 0.78 1.24
Japan 92044 642 0.70 10990 1664 14 0.85 1.81
China 90925 20 0.02 484 4739 0 0.00 5.21
Ethiopia 87834 665 0.76 15661 1337 12 0.91 1.52
Honduras 86691 602 0.70 12851 2556 4 0.16 2.95
Belarus 86392 658 0.77 9435 921 5 0.55 1.07
Venezuela 85758 289 0.34 14485 725 5 0.69 0.85
Bahrain 77325 371 0.48 9135 292 3 1.04 0.38
Switzerland 74422 3105 4.35 22558 2122 7 0.33 2.85
Moldova 65860 784 1.20 16194 1549 19 1.24 2.35
Uzbekistan 62588 310 0.50 8196 520 2 0.39 0.83
Armenia 61460 1465 2.44 12817 1056 10 0.96 1.72
Austria 61387 1163 1.93 19887 882 5 0.57 1.44
Nigeria 61194 212 0.35 3132 1119 3 0.27 1.83
Lebanon 60113 1368 2.33 26151 509 8 1.60 0.85
Singapore 57901 9 0.02 236 28 0 0.00 0.05
Algeria 53998 221 0.41 3244 1841 14 0.77 3.41
Paraguay 53482 886 1.68 16256 1165 15 1.30 2.18
Kyrgyzstan 51020 431 0.85 5088 1103 4 0.36 2.16
Libya 47845 1169 2.50 16555 699 18 2.64 1.46
Ireland 47427 998 2.15 13112 1841 3 0.16 3.88
Ghana 47173 0 0.00 951 310 0 0.00 0.66
West Bank and Gaza 46434 334 0.72 8471 402 1 0.25 0.87
Azerbaijan 43789 509 1.18 4002 621 2 0.32 1.42
Kenya 43580 437 1.01 5873 813 8 0.99 1.87
Hungary 43025 1293 3.10 20898 1085 33 3.14 2.52
Afghanistan 40073 47 0.12 887 1485 4 0.27 3.71
Serbia 35719 265 0.75 2481 772 2 0.26 2.16
Denmark 34939 420 1.22 8873 677 0 0.00 1.94
Tunisia 34790 0 0.00 20398 512 0 0.00 1.47
Jordan 34548 1539 4.66 27337 310 28 9.93 0.90
Burma 33488 1137 3.51 24376 799 34 4.44 2.39
Bosnia and Herzegovina 32845 621 1.93 6281 980 8 0.82 2.98
El Salvador 31265 204 0.66 2850 912 4 0.44 2.92
Bulgaria 28505 998 3.63 8677 958 14 1.48 3.36
Australia 27378 7 0.03 362 904 0 0.00 3.30
Slovakia 26300 2075 8.57 18252 71 0 0.00 0.27
Korea, South 25108 73 0.29 1592 443 2 0.45 1.76
Greece 24450 503 2.10 7537 490 8 1.66 2.00
Croatia 23665 1131 5.02 7870 345 1 0.29 1.46
North Macedonia 22607 437 1.97 5264 821 6 0.74 3.63
Cameroon 21441 0 0.00 729 423 0 0.00 1.97
Cote d’Ivoire 20275 18 0.09 719 121 1 0.83 0.60
Malaysia 18758 629 3.47 8071 176 6 3.53 0.94
Madagascar 16754 0 0.00 533 237 0 0.00 1.41
Kosovo 16606 104 0.63 1227 652 2 0.31 3.93
Albania 16501 289 1.78 3456 443 4 0.91 2.68
Norway 16272 135 0.84 2727 278 0 0.00 1.71
Zambia 15659 0 0.00 1144 346 0 0.00 2.21
Senegal 15368 20 0.13 529 317 1 0.32 2.06
Georgia 15327 887 6.14 10663 124 11 9.73 0.81
Montenegro 15281 609 4.15 5319 228 7 3.17 1.49
Sudan 13691 0 0.00 99 836 0 0.00 6.11
Finland 13133 189 1.46 3649 351 1 0.29 2.67
Namibia 12215 112 0.93 1380 131 1 0.77 1.07
Slovenia 11517 834 7.81 6510 180 4 2.27 1.56
Guinea 11362 107 0.95 884 70 0 0.00 0.62
Maldives 11154 41 0.37 1140 35 0 0.00 0.31
Congo (Kinshasa) 10999 64 0.59 421 301 20 7.12 2.74
Mozambique 10612 75 0.71 3023 73 0 0.00 0.69
Luxembourg 10471 227 2.22 2238 133 0 0.00 1.27
Tajikistan 10414 40 0.39 852 80 0 0.00 0.77
Uganda 10334 217 2.14 3116 96 0 0.00 0.93

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 871253 3105 0.36 67593 16910 78 0.46 1.94 22050.21 427.97 1 in 45
Texas 843487 5921 0.71 92419 17375 92 0.53 2.06 29089.89 599.22 1 in 34
Florida 748437 3449 0.46 52550 15830 94 0.60 2.12 34847.11 737.04 1 in 29
New York 481107 1707 0.36 27352 33337 0 0.00 6.93 24731.05 1713.67 1 in 40
Illinois 339757 5106 1.53 53425 9425 52 0.55 2.77 26812.01 743.78 1 in 37
Georgia 337850 1609 0.48 25336 7556 64 0.85 2.24 31820.34 711.66 1 in 31
North Carolina 241623 2684 1.12 37293 3910 36 0.93 1.62 23037.86 372.80 1 in 43
Arizona 229486 738 0.32 13119 5806 17 0.29 2.53 30136.47 762.45 1 in 33
Tennessee 223493 666 0.30 34039 2871 7 0.24 1.28 32707.06 420.16 1 in 31
New Jersey 217804 810 0.37 15704 16202 5 0.03 7.44 24521.43 1824.10 1 in 41
Pennsylvania 184165 1679 0.92 25151 8434 21 0.25 4.58 14385.66 658.80 1 in 70
Ohio 177991 2148 1.22 29097 5054 16 0.32 2.84 15227.09 432.37 1 in 66
Louisiana 174638 774 0.45 10710 5727 20 0.35 3.28 37566.30 1231.93 1 in 27
Alabama 170374 1212 0.72 19716 2786 30 1.09 1.64 34747.62 568.20 1 in 29
Wisconsin 166186 3861 2.38 55358 1574 21 1.35 0.95 28542.36 270.33 1 in 35
Virginia 163710 1172 0.72 19416 3405 20 0.59 2.08 19179.85 398.92 1 in 52
South Carolina 162253 1147 0.71 18351 3615 8 0.22 2.23 31513.31 702.12 1 in 32
Michigan 159119 2206 1.41 25742 7317 15 0.21 4.60 15932.84 732.66 1 in 63
Missouri 154923 2261 1.48 33467 2477 17 0.69 1.60 25242.33 403.59 1 in 40
Indiana 143495 2283 1.62 28088 3887 23 0.60 2.71 21314.67 577.37 1 in 47
Massachusetts 142346 767 0.54 12865 9702 30 0.31 6.82 20482.90 1396.07 1 in 49
Maryland 134329 781 0.58 11970 4032 4 0.10 3.00 22219.01 666.92 1 in 45
Minnesota 119396 2290 1.96 25207 2265 13 0.58 1.90 21170.88 401.62 1 in 47
Mississippi 109255 1116 1.03 13223 3160 8 0.25 2.89 36710.19 1061.77 1 in 27
Iowa 105746 1690 1.62 20715 1524 8 0.53 1.44 33516.21 483.03 1 in 30
Oklahoma 105308 1472 1.42 22788 1154 11 0.96 1.10 26613.29 291.64 1 in 38
Arkansas 97539 1015 1.05 17593 1665 20 1.22 1.71 32320.96 551.72 1 in 31
Washington 96894 709 0.74 11668 2239 7 0.31 2.31 12724.28 294.03 1 in 79
Utah 91957 1496 1.65 23427 537 8 1.51 0.58 28683.16 167.50 1 in 35
Nevada 88685 716 0.81 10932 1707 9 0.53 1.92 28792.37 554.19 1 in 35
Kentucky 85506 1311 1.56 20440 1300 4 0.31 1.52 19138.82 290.98 1 in 52
Colorado 83207 1312 1.60 15302 2172 10 0.46 2.61 14448.83 377.17 1 in 69
Kansas 69550 1040 1.52 13125 857 25 3.00 1.23 23873.16 294.17 1 in 42
Connecticut 62830 802 1.29 6243 4542 2 0.04 7.23 17622.70 1273.95 1 in 57
Nebraska 56714 1286 2.32 13552 547 12 2.24 0.96 29318.53 282.77 1 in 34
Puerto Rico 56412 327 0.58 11507 758 15 2.02 1.34 17663.56 237.34 1 in 57
Idaho 51704 1094 2.16 11947 523 6 1.16 1.01 28851.63 291.84 1 in 35
Oregon 38935 410 1.06 6621 617 6 0.98 1.58 9231.25 146.29 1 in 108
New Mexico 35770 812 2.32 7283 928 6 0.65 2.59 17059.09 442.57 1 in 59
South Dakota 31805 793 2.56 11251 307 3 0.99 0.97 35951.71 347.03 1 in 28
North Dakota 30517 864 2.91 10632 388 18 4.86 1.27 40045.30 509.14 1 in 25
Rhode Island 27691 253 0.92 3510 1152 3 0.26 4.16 26139.34 1087.45 1 in 38
Delaware 22724 164 0.73 2639 662 1 0.15 2.91 23336.25 679.84 1 in 43
Montana 21595 662 3.16 10031 235 5 2.17 1.09 20205.32 219.88 1 in 49
West Virginia 19586 502 2.63 4624 398 3 0.76 2.03 10959.37 222.70 1 in 91
District of Columbia 16255 89 0.55 1092 641 3 0.47 3.94 23032.27 908.25 1 in 43
Hawaii 13853 89 0.65 1962 185 1 0.54 1.34 9784.08 130.66 1 in 102
Alaska 10549 226 2.19 3295 66 1 1.54 0.63 14420.17 90.22 1 in 69
New Hampshire 9514 88 0.93 1429 465 2 0.43 4.89 6997.08 341.98 1 in 143
Wyoming 8665 290 3.46 3245 57 0 0.00 0.66 14971.69 98.49 1 in 67
Maine 5863 29 0.50 629 145 1 0.69 2.47 4361.66 107.87 1 in 229
Vermont 1915 12 0.63 184 58 0 0.00 3.03 3068.96 92.95 1 in 326

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16621956 871253 5.24 2569709 67593 2.63 420678.8
2 Texas 7211046 843487 11.70 1297597 92419 7.12 248692.1
3 Florida 5673685 748437 13.19 467691 52550 11.24 264165.9
4 New York 12611431 481107 3.81 2287968 27352 1.20 648283.9
5 Illinois 6622355 339757 5.13 1256395 53425 4.25 522604.8
6 Georgia 3254270 337850 10.38 406776 25336 6.23 306502.8
7 North Carolina 3539731 241623 6.83 636677 37293 5.86 337500.2
8 Arizona 1609380 229486 14.26 185777 13119 7.06 211346.4
9 Tennessee 3274513 223493 6.83 511668 34039 6.65 479208.2
10 New Jersey 4101399 217804 5.31 622688 15704 2.52 461755.4
11 Pennsylvania 2282130 184165 8.07 311530 25151 8.07 178263.7
12 Ohio 3803487 177991 4.68 807894 29097 3.60 325387.5
13 Louisiana 2565652 174638 6.81 309587 10710 3.46 551896.3
14 Alabama 1241182 170374 13.73 143587 19716 13.73 253137.9
15 Wisconsin 1765796 166186 9.41 264822 55358 20.90 303274.5
16 Virginia 2346899 163710 6.98 373400 19416 5.20 274956.8
17 South Carolina 1566317 162253 10.36 339850 18351 5.40 304215.2
18 Michigan 4225410 159119 3.77 723098 25742 3.56 423097.1
19 Missouri 2222854 154923 6.97 949689 33467 3.52 362180.0
20 Indiana 2451285 143495 5.85 1109823 28088 2.53 364112.5
21 Massachusetts 5012963 142346 2.84 1306235 12865 0.98 721341.2
22 Maryland 3013107 134329 4.46 1440623 11970 0.83 498390.1
23 Minnesota 2430551 119396 4.91 506531 25207 4.98 430976.9
24 Mississippi 838799 109255 13.03 112413 13223 11.76 281840.4
25 Iowa 822775 105746 12.85 77794 20715 26.63 260778.7
26 Oklahoma 1418148 105308 7.43 277484 22788 8.21 358392.3
27 Arkansas 1197898 97539 8.14 271604 17593 6.48 396940.8
28 Washington 2169192 96894 4.47 385913 11668 3.02 284861.8
29 Utah 957309 91957 9.61 162092 23427 14.45 298603.1
30 Nevada 748789 88685 11.84 67453 10932 16.21 243101.0
31 Kentucky 1653847 85506 5.17 409219 20440 4.99 370180.8
32 Colorado 1625527 83207 5.12 364666 15302 4.20 282271.5
33 Kansas 589189 69550 11.80 86419 13125 15.19 202240.1
34 Connecticut 1967633 62830 3.19 448482 6243 1.39 551886.3
35 Nebraska 529266 56714 10.72 91962 13552 14.74 273606.2
37 Idaho 345585 51704 14.96 49173 11947 24.30 192841.8
38 Oregon 775189 38935 5.02 112283 6621 5.90 183792.6
39 New Mexico 1027392 35770 3.48 142019 7283 5.13 489974.2
40 South Dakota 226990 31805 14.01 43043 11251 26.14 256584.7
41 North Dakota 719017 30517 4.24 131453 10632 8.09 943515.1
42 Rhode Island 935623 27691 2.96 208154 3510 1.69 883195.6
43 Delaware 321142 22724 7.08 41768 2639 6.32 329794.5
44 Montana 425462 21595 5.08 99346 10031 10.10 398082.7
45 West Virginia 667579 19586 2.93 132185 4624 3.50 373544.5
46 District of Columbia 455787 16255 3.57 82201 1092 1.33 645820.3
47 Hawaii 466030 13853 2.97 179155 1962 1.10 329147.0
48 Alaska 522664 10549 2.02 81332 3295 4.05 714466.0
49 New Hampshire 523340 9514 1.82 105651 1429 1.35 384890.6
50 Wyoming 117419 8665 7.38 19593 3245 16.56 202880.6
51 Maine 533641 5863 1.10 127247 629 0.49 396991.7
52 Vermont 176605 1915 1.08 17326 184 1.06 283025.8

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1586321 10259 0.65 1358606 85.65 185270 41965 463 1.12 2.65
Andhra Pradesh 779146 3676 0.47 735638 94.42 37102 6406 24 0.38 0.82
Karnataka 758574 7184 0.96 637481 84.04 110647 10427 71 0.69 1.37
Tamil Nadu 683486 4295 0.63 632708 92.57 40192 10586 54 0.51 1.55
Uttar Pradesh 452660 2725 0.61 411611 90.93 34420 6629 40 0.61 1.46
Kerala 334229 9016 2.77 236989 70.91 96008 1140 26 2.33 0.34
Delhi 327718 3259 1.00 298853 91.19 22884 5981 35 0.59 1.83
West Bengal 317053 3865 1.23 277940 87.66 33121 5992 61 1.03 1.89
Odisha 266345 2196 0.83 244227 91.70 20944 1174 17 1.47 0.44
Telangana 220675 1451 0.66 196636 89.11 22774 1265 9 0.72 0.57
Bihar 203060 1173 0.58 191515 94.31 10554 990 9 0.92 0.49
Assam 200391 642 0.32 171081 85.37 28442 865 12 1.41 0.43
Rajasthan 171281 1992 1.18 148291 86.58 21255 1735 12 0.70 1.01
Madhya Pradesh 159158 1222 0.77 142707 89.66 13698 2753 18 0.66 1.73
Gujarat 158635 1161 0.74 140519 88.58 14487 3629 9 0.25 2.29
Chhattisgarh 158502 2515 1.61 129883 81.94 27180 1439 14 0.98 0.91
Haryana 149081 1148 0.78 137176 92.01 10265 1640 6 0.37 1.10
Punjab 127154 417 0.33 116925 91.96 6230 3999 19 0.48 3.15
Jharkhand 95967 542 0.57 88559 92.28 6576 832 9 1.09 0.87
Jammu and Kashmir 87364 610 0.70 77288 88.47 8704 1372 6 0.44 1.57
Uttarakhand 57648 606 1.06 50820 88.16 5538 924 95 11.46 1.60
Goa 40400 309 0.77 36035 89.20 3827 538 7 1.32 1.33
Puducherry 32978 212 0.65 27984 84.86 4420 574 3 0.53 1.74
Tripura 29324 134 0.46 26012 88.71 2966 323 3 0.94 1.10
Himachal Pradesh 18797 275 1.48 15820 84.16 2680 260 3 1.17 1.38
Manipur 15141 426 2.90 11443 75.58 3587 111 2 1.83 0.73
Chandigarh 13582 50 0.37 12460 91.74 915 207 1 0.49 1.52
Arunachal Pradesh 13348 377 2.91 10315 77.28 3003 30 0 0.00 0.22
Meghalaya 8404 101 1.22 6034 71.80 2295 75 0 0.00 0.89
Nagaland 7698 94 1.24 6077 78.94 1529 21 4 23.53 0.27
Ladakh 5534 93 1.71 4535 81.95 934 65 0 0.00 1.17
Andaman and Nicobar Islands 4083 11 0.27 3848 94.24 179 56 0 0.00 1.37
Sikkim 3567 36 1.02 3152 88.37 275 59 0 0.00 1.65
Dadra and Nagar Haveli and Daman and Diu 3178 4 0.13 3094 97.36 57 2 0 0.00 0.06
Mizoram 2245 16 0.72 2137 95.19 108 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2442250 121130 2419 2.04 4.96 834 71 19128 17044 14.07
Piemonte 838419 41895 821 2.00 5.00 658 43 8058 4194 10.01
Emilia-Romagna 1352796 39692 544 1.39 2.93 404 61 8033 4504 11.35
Veneto 2121494 34277 704 2.10 1.62 299 40 8138 2244 6.55
Campania 737227 23033 1261 5.79 3.12 786 67 14354 499 2.17
Lazio 1095576 22796 795 3.61 2.08 1004 98 12317 1006 4.41
Toscana 890317 21017 755 3.73 2.36 308 51 8515 1187 5.65
Liguria 367942 17281 585 3.50 4.70 347 32 3241 1632 9.44
Sicilia 583340 11269 578 5.41 1.93 471 58 5934 360 3.19
Puglia 478743 10734 313 3.00 2.24 326 26 4673 630 5.87
Marche 278711 9133 115 1.28 3.28 73 10 1754 992 10.86
P.A. Trento 257811 6715 111 1.68 2.60 20 0 725 416 6.20
Friuli Venezia Giulia 470467 6093 165 2.78 1.30 45 12 1799 359 5.89
Abruzzo 237943 5825 178 3.15 2.45 167 11 2150 491 8.43
Sardegna 223799 5736 133 2.37 2.56 187 29 3095 171 2.98
P.A. Bolzano 200042 4493 128 2.93 2.25 66 6 1303 293 6.52
Umbria 246365 4210 198 4.94 1.71 75 15 1961 91 2.16
Calabria 233393 2589 102 4.10 1.11 51 4 904 104 4.02
Valle d’Aosta 32618 1660 27 1.65 5.09 13 4 382 146 8.80
Basilicata 86551 1169 57 5.13 1.35 36 0 583 38 3.25
Molise 52400 864 21 2.49 1.65 8 0 265 26 3.01

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 91018 1055 1.17 6018 13 0.22 6.61 10660.75 704.88 1 in 94
Ontario 65730 904 1.39 3089 11 0.36 4.70 4467.83 209.97 1 in 224
Alberta 21775 332 1.55 288 0 0.00 1.32 4934.12 65.26 1 in 203
British Columbia 11189 155 1.40 251 1 0.40 2.24 2189.24 49.11 1 in 457
Manitoba 3173 75 2.42 38 0 0.00 1.20 2303.42 27.59 1 in 434
Saskatchewan 2270 38 1.70 25 0 0.00 1.10 1921.02 21.16 1 in 521
Nova Scotia 1093 1 0.09 65 0 0.00 5.95 1118.21 66.50 1 in 894
New Brunswick 297 5 1.71 2 0 0.00 0.67 380.77 2.56 1 in 2626
Newfoundland and Labrador 287 3 1.06 4 0 0.00 1.39 550.48 7.67 1 in 1817
Prince Edward Island 63 -2 -3.08 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5220 105 2.01
Guangdong 1877 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1080 7 0.65
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 724 3 0.41
Jiangsu 669 0 0.00
Chongqing 586 6 1.02
Shaanxi 434 3 0.69
Fujian 417 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 251 3 1.20
Yunnan 211 2 0.95
Shanxi 208 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 24599.22 668.02 1 in 41
India 5550.92 84.39 1 in 180
Brazil 24846.15 732.03 1 in 40
Russia 9420.88 163.18 1 in 106
Argentina 21811.81 581.05 1 in 46
Colombia 19265.42 583.17 1 in 52
Spain 20072.01 723.85 1 in 50
France 13081.68 497.46 1 in 76
Peru 26724.90 1043.74 1 in 37
Mexico 6514.40 663.34 1 in 154
South Africa 12344.90 323.87 1 in 81
United Kingdom 10417.10 655.01 1 in 96
Iran 6436.51 368.04 1 in 155
Chile 27046.54 749.53 1 in 37
Iraq 10982.57 265.01 1 in 91
Italy 6475.05 602.30 1 in 154
Bangladesh NA NA 1 in NA
Germany 4345.96 118.05 1 in 230
Indonesia 1338.87 46.77 1 in 747
Philippines 3353.19 62.26 1 in 298

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 287222 6855 2.39
Miami-Dade Florida 177339 3520 1.98
Cook Illinois 160645 5339 3.32
Harris Texas 153571 2718 1.77
Maricopa Arizona 148612 3500 2.36
Dallas Texas 88372 1187 1.34
Broward Florida 80443 1500 1.86
Queens New York 74798 7282 9.74
Clark Nevada 73737 1468 1.99
Kings New York 72598 7365 10.14
Riverside California 63284 1269 2.01
Bexar Texas 60442 1376 2.28
San Bernardino California 59463 989 1.66
Tarrant Texas 58053 778 1.34
Orange California 56587 1401 2.48
Bronx New York 54198 4973 9.18
San Diego California 51781 865 1.67
Palm Beach Florida 48674 1478 3.04
Nassau New York 48377 2204 4.56
Suffolk New York 47815 2016 4.22
Hillsborough Florida 44999 738 1.64
Orange Florida 43044 528 1.23
Philadelphia Pennsylvania 40179 1840 4.58
Salt Lake Utah 39645 285 0.72
Westchester New York 39288 1460 3.72
Wayne Michigan 37951 3017 7.95
New York New York 34735 3188 9.18
Milwaukee Wisconsin 34400 554 1.61
Hidalgo Texas 34179 1895 5.54
Shelby Tennessee 33507 548 1.64
Kern California 33225 406 1.22
Duval Florida 32625 505 1.55
El Paso Texas 31478 571 1.81
Hennepin Minnesota 31472 962 3.06
Mecklenburg North Carolina 31279 374 1.20
Prince George’s Maryland 31210 841 2.69
Travis Texas 30797 443 1.44
Franklin Ohio 30157 635 2.11
Middlesex Massachusetts 29728 2214 7.45
Fresno California 29727 429 1.44
Fulton Georgia 29562 603 2.04
Gwinnett Georgia 29418 429 1.46
Davidson Tennessee 28933 324 1.12
St. Louis Missouri 27472 854 3.11
Pima Arizona 26769 633 2.36
Suffolk Massachusetts 26160 1155 4.42
King Washington 24769 792 3.20
Utah Utah 24638 72 0.29
Montgomery Maryland 24174 860 3.56
Sacramento California 24102 464 1.93
Marion Indiana 24034 777 3.23
Pinellas Florida 23746 793 3.34
Cameron Texas 23662 1063 4.49
Bergen New Jersey 23569 2050 8.70
Santa Clara California 22974 373 1.62
Oakland Michigan 22752 1224 5.38
Fairfax Virginia 22460 599 2.67
Alameda California 22408 439 1.96
Essex New Jersey 22227 2134 9.60
Jefferson Alabama 22030 371 1.68
Lee Florida 21753 492 2.26
Essex Massachusetts 21736 1320 6.07
Polk Florida 21572 578 2.68
Hudson New Jersey 21529 1520 7.06
Oklahoma Oklahoma 21506 216 1.00
Fairfield Connecticut 21368 1427 6.68
San Joaquin California 21138 483 2.28
Cobb Georgia 21041 446 2.12
Nueces Texas 20931 435 2.08
Middlesex New Jersey 20727 1437 6.93
Providence Rhode Island 20439 909 4.45
DuPage Illinois 20277 595 2.93
Tulsa Oklahoma 20102 183 0.91
DeKalb Georgia 20088 387 1.93
Passaic New Jersey 19859 1258 6.33
Wake North Carolina 19583 261 1.33
Douglas Nebraska 19574 214 1.09
Baltimore Maryland 19403 650 3.35
Lake Illinois 19077 501 2.63
Cuyahoga Ohio 18951 671 3.54
Jefferson Kentucky 18855 326 1.73
Union New Jersey 18505 1362 7.36
Jefferson Louisiana 18252 580 3.18
Contra Costa California 17945 234 1.30
Polk Iowa 17754 281 1.58
Stanislaus California 17198 391 2.27
Tulare California 17072 274 1.60
Rockland New York 17063 680 3.99
Fort Bend Texas 17062 303 1.78
Macomb Michigan 16751 1059 6.32
Collin Texas 16751 169 1.01
Baltimore City Maryland 16681 495 2.97
Richmond New York 16605 1089 6.56
Charleston South Carolina 16498 269 1.63
Richland South Carolina 16476 260 1.58
Will Illinois 16321 414 2.54
Hartford Connecticut 16273 1445 8.88
District of Columbia District of Columbia 16255 641 3.94
Greenville South Carolina 16184 330 2.04
Ocean New Jersey 15752 1054 6.69

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc